Optimizing Electric Vehicle Coordination Over a Heterogeneous Mesh Network in a Scaled-Down Smart Grid Testbed

Bishnu Prasad Bhattarai, Martin Lévesque, Martin Maier, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai

Research output: Contribution to journalJournal articleResearchpeer-review

44 Citations (Scopus)

Abstract

High penetration of renewable energy sources and electric vehicles (EVs) create power imbalance and congestion in the existing power network, and hence causes significant problems in the control and operation. Despite investing huge efforts from the electric utilities, governments, and researchers, smart grid (SG) is still at the developmental stage to address those issues. In this regard, a smart grid testbed (SGT) is desirable to develop, analyze, and demonstrate various novel SG solutions, namely demand response, real-time pricing, and congestion management. In this paper, a novel SGT is developed in a laboratory by scaling a 250 kVA, 0.4 kV real low-voltage distribution feeder down to 1 kVA, 0.22 kV. Information and communication technology is integrated in the scaled-down network to establish real-time monitoring and control. The novelty of the developed testbed is demonstrated by optimizing EV charging coordination realized through the synchronized exchange of monitoring and control packets via an heterogeneous Ethernet-based mesh network.
Original languageEnglish
JournalI E E E Transactions on Smart Grid
Volume6
Issue number2
Pages (from-to)784 - 794
Number of pages11
ISSN1949-3053
DOIs
Publication statusPublished - Mar 2015

Keywords

  • Controllable load
  • Demand response (DR)
  • Electric vehicle (EV)
  • Smart grid communications
  • Smart grid testbed (SGT)

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